GPT-5.6 Terra vs Muse Ember
GPT-5.6 Terra and Muse Ember are closely matched at 48.5 and 45.9 on the LLM Stats Score. Muse Ember is 22.5x cheaper per token.
OpenAI · Meta · Updated for 2026
Which is better?
GPT-5.6 Terra and Muse Ember are closely matched on the overall LLM Stats Score at 48.5 and 45.9.
In the 2 individual benchmarks reported for both models, Muse Ember wins 2; this is a narrower head-to-head signal than the composite indexes.
On price, Muse Ember is roughly 22.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-5.6 Terra also accepts a larger context window (1,050,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose GPT-5.6 Terra
- you process long inputs — it offers a 1,050,000 token context window
Choose Muse Ember
- you value its reported benchmark strengths — it wins 2 of 2 exact shared results
- cost matters — it's about 22.5x cheaper per token
- you want the most recent training data — it shipped Nov 2026
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
46 reported for GPT-5.6 Terra · 6 for Muse Ember
GPT-5.6 Terra outperforms in 0 benchmarks, while Muse Ember is better at 2 benchmarks (Agents' Last Exam, Terminal-Bench 4.0).
Muse Ember significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-5.6 Terra ($2.00/1M tokens) is 20.0x more expensive than Muse Ember ($0.10/1M tokens).
For output processing, GPT-5.6 Terra ($12.00/1M tokens) is 24.0x more expensive than Muse Ember ($0.50/1M tokens).
In conclusion, GPT-5.6 Terra is more expensive than Muse Ember.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-5.6 Terra accepts 1,050,000 input tokens compared to Muse Ember's 1,048,576 tokens. Muse Ember can generate longer responses up to 524,288 tokens, while GPT-5.6 Terra is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Both GPT-5.6 Terra and Muse Ember support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-5.6 Terra
Muse Ember
License
Usage and distribution terms
Both models are licensed under proprietary licenses.
Both models have usage restrictions defined by their respective organizations.
Proprietary
Closed source
Proprietary
Closed source
Release Timeline
When each model was launched
GPT-5.6 Terra was released on 2026-07-09, while Muse Ember was released on 2026-11-09.
Muse Ember is 4 months newer than GPT-5.6 Terra.
Jul 9, 2026
4 months ago
Nov 9, 2026
3 days ago
4mo newerKnowledge Cutoff
When training data ends
GPT-5.6 Terra has a documented knowledge cutoff of 2026-02-16, while Muse Ember's cutoff date is not specified.
We can confirm GPT-5.6 Terra's training data extends to 2026-02-16, but cannot make a direct comparison without Muse Ember's cutoff date.
Feb 2026
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Provider Availability
GPT-5.6 Terra is available from OpenAI. Muse Ember is available from Meta Model API.
GPT-5.6 Terra
Muse Ember
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-5.6 Terra and Muse Ember side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-5.6 Terra vs Muse Ember.